ISO-IEC-42001-Lead-Auditor Exam Dumps - ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor Exam

Scenario 6 (continued):

Scenario 6: HappilyAI is a pioneering enterprise dedicated to developing and deploying artificial intelligence Al solutions tailored to enhance customer service experiences across various industries. The company offers innovative products like virtual assistants, predictive analytics tools, and personalized customer interaction platforms. As part of its commitment to operational excellence and innovation, HappilyAI has implemented a robust Al management system AIMS to oversee its Al operations effectively. Currently. HappilyAI is undergoing a comprehensive audit process of its AIMS to evaluate its compliance with ISO/IEC 42001.

Under the leadership of Jess, the audit team began the audit process with meticulous planning and coordination, setting the groundwork for the extensive on-site activities of the stage 1 audit. This initial phase was marked by a comprehensive documentation review. The audit scope encompassed a critical review of HappilyAI's core departments, including Research and Development (R&D), Customer Service, and Data Security, aiming to assess the conformity of HappilyAI's AIMS to the requirements of ISO/IEC 42001.

Afterward, Jess and the team conducted a formal opening meeting with HappilyAI to introduce the audit team and outline the audit activities. The meeting set a collaborative tone for the subsequent phases, where the team engaged in information collection, executed audit tests, identified findings, and prepared draft nonconformity reports while maintaining a strict quality review process.

In gathering evidence, the audit team employed a sampling method, which involved dividing the population into homogeneous groups to ensure a comprehensive and representative data collection by drawing samples from each segment. Furthermore, the team employed observation to deepen their understanding of the Al management processes. They verified the availability of essential documentation, including Al-related policies, and evaluated the communication channels established for reporting incidents.

Additionally, they scrutinized specific monitoring tools designed to track the performance of data acquisition processes, ensuring these tools effectively identify and respond to errors or anomalies. However, a notable challenge emerged as the team encountered a lack of access to documented information that describes how tasks about AIMS are executed. In addition to this, the team identified a potential nonconformity within the Sales Department. They decided not to record this as a nonconformity in the audit report but only communicated it to the HappilyAI's representatives.

During the stage 2 audit, the certification body, in collaboration with HappilyAI, assigned the roles of technical experts within the audit team. Recognized for their specialized knowledge and expertise in artificial intelligence and its applications, these technical experts are tasked with the thorough assessment of the AIMS framework to ensure its alignment with industry standards and best practices, focusing on areas such as data ethics, algorithmic transparency, and Al system security.

Question:

Which observation types did the audit team use to enhance their understanding of the AI management processes?

Question:

DenSolutions, a financial institution, is seeking to certify its AIMS. The certification body appointed Sarah as the audit team leader, who previously provided consultancy services regarding the AIMS. Can Sarah audit the AIMS of DenSolutions?

What is the right series of AI system lifecycle?

Scenario 3 (continued):

ArBank is a financial institution located in Brussels, Belgium, which offers a diverse range of banking and investment services to its clients. To ensure the continual improvement of its operations, ArBank has implemented a quality management system QMS based

on ISO 9001 and an artificial intelligence management system AIMS based on the requirements of ISO/IEC 42001.

Audrey, an experienced auditor, led an internal audit focused on the AIMS within ArBank. She assessed the chatbots integrated into the bank's website and mobile app, analyzing communications using big data technology to identify potential noncompliance, fraud, or unethical conduct. Instead of relying solely on the information provided by the chatbots, Audrey sought out evidence that would either confirm or challenge the validity of the data, ensuring her conclusions were based on reliable and accurate information. Her review of selected chatbot interactions confirmed they met their intended purpose.

For the specific context of ArBank's operations, Audrey utilized an Al system to assess the efficiency of the bank's digital infrastructure, focusing on tasks critical to the Finance Department. This Al system was able to analyze the functionality of chatbots integrated into ArBank's website and mobile app to determine if it adheres to ISO/IEC 42001 requirements and internal policies governing customer service in the banking sector.

In addition, Audrey conducted a deeper assessment of the bank’s AIMS. Her evaluation included observing different stages of the AIMS life cycle, from development to deployment, to ensure that roles and responsibilities were clearly defined and aligned with ArBank’s operational goals. She also evaluated the tools used to monitor and measure the performance of the AIMS.

Audrey continued the audit process by auditing ArBank's outsourced operations. Upon checking the contractual agreements between the two parties, Audrey decided that there was no need to gather audit evidence regarding the contractual agreement. She reviewed the company's processes for monitoring the quality of outsourced operations, determined whether appropriate governance processes are in place with regard to the engagement of outsourced persons or organizations, and reviewed and evaluated the company's plans in case of expected or unexpected termination of the outsourcing agreement.

Based on the scenario above, answer the following question:

Question:

What big data technology did Audrey utilize? Refer to Scenario 3.

Which of the following statements best describes the evidence collection process carried out by the audit team at Finalogic? Refer to Scenario 4.

Scenario 4: Finalogic leads the application of artificial intelligence in the financial services sector, which is used to improve risk assessment, fraud detection, and

customer service. The company has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001 to ensure operational quality, ethical Al

use, regulatory compliance, and transparency, allowing for consistent oversight and structured governance.

This month, Finalogic is undergoing an audit to obtain certification against ISO/IEC 42001, a critical step in demonstrating its commitment to responsible Al. To

evaluate Finalogic's conformity to the audit criteria, the audit team adopted a comprehensive, evidence-based approach. The gathered evidence ranged from analyses

of unquantifiable information to analyses of samples related to determining the audit criteria-including internal reports generated by Finalogic's own Al system-which

assert successful integration and compliance with the standard.

Additionally, presentations by the company’s Al team during the audit highlighted the system’s success in customer service enhancements and fraud detection,

emphasizing improved efficiency, decision making accuracy, and user trust. An evaluation report prepared by an independent third party firm specializing in Al systems

also provided an objective review of Finalogic's AIMS. It assessed the system's effectiveness, bias, and compliance through a thorough examination.

During the audit, the audit team applied the same level of effort and utilized the same techniques across all audit areas, regardless of their risk level. This strategy

ensured a consistent and thorough evaluation of the AIMS, uncovering any latent weaknesses or inefficiencies that might otherwise go unnoticed.

Despite Finalogic's advanced AIMS and adherence to ISO/IEC 42001 for ethical Al practices, there remains a risk of Al algorithms inadvertently perpetuating bias or

making inaccurate predictions due to unforeseen flaws in training data or algorithmic models. This could lead to unfair loan rejections or approvals, potentially causing

financial losses or damaging the company’s reputation for fairness and accuracy in its financial services. By acknowledging these risks. Finalogic remains committed

to refining its Al governance, implementing bias mitigation strategies, and enhancing transparency to uphold its reputation as a leader in Al driven financial services.

Question:

Which of the following does NOT represent the purpose of managing and maintaining audit program records?

Question:

Based on ISO/IEC 42001, which of the following is NOT one of the factors that an organization must consider when determining the risks and opportunities related to an AI system?

Did Samuel consider all the necessary factors while reviewing documented information during the stage 1 audit? Refer to Scenario 6.

Scenario 6: AfrinovAl, based in Nairobi, Kenya, develops Al tools to improve agriculture in Africa. The company uses Al to address challenges faced by African farmers,

offering tools for analyzing satellite images to monitor crop health, predicting pest and disease outbreaks, and automating irrigation to use water more efficiently.

AfrinovAl has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001, reflecting its commitment to ethical and effective

management practices in its Al solutions.

AfrinovAl is undergoing a certification audit to obtain certification against ISO/IEC 42001. Samuel, an expert in Al technologies and management systems, is heading

the audit team. Before initiating the audit process, Samuel reviewed and approved the audit plan, which served as a basis for the agreement between the certification

body and the auditee.

During the stage 1 audit, the audit team focused on a detailed evaluation of AfrinovAI's documented information, critically assessing both their format and content.

Samuel held a meeting with his team to prepare for the stage 2 audit. During this meeting, responsibilities were allocated among team members, assigning specific

processes, functions, sites, areas, or activities based on each auditor's expertise and the audit requirements. He also assigned auditing roles to technical experts to

leverage their specialized knowledge in specific areas.

In the stage 2 audit, Samuel and his team held an opening meeting during which Samuel explained how the audit activities will be undertaken. AfrinovAI's also

participated in the meeting. Afterward, the audit team conducted on-site activities to closely inspect the physical locations of the audited processes. The interviewed

individuals from the auditee's personnel regarding the AIMS and observed some of the operations of the auditee. They also used sampling and technical verification to

assess the implementation of Al-related controls, verify compliance with established procedures, and identify any gaps in adherence to the AIMS requirements. They

skipped the review of documented information related to the AIMS since some documents had already been reviewed during the stage 1 audit. This comprehensive

approach ensured a thorough evaluation of AfrinovAI's AIMS against the ISO/IEC 42001.